Job ID: 1810794
Location: , ENGOregon
Date Posted: Sep 3, 2019
Category: Engineering and Sciences
Subcategory: Guidance, Navigation, Control
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: None
Potential for Teleworking: No
SAIC is seeking a Process Systems Engineering Research SME. This research position is intended to support a Process Systems Engineering Research Team (PSERT). The candidate will be primarily responsible for specialized research in process systems engineering with an emphasis on rigorous process models of energy systems, while fulfilling the following general functions:
• Conduct exploratory and applied research in the areas of simulation, modeling and optimization, scientific computing, and the science of flowing materials, including multi-phase and chemically reactive flows.
• Investigate theoretical and fundamental phenomena as necessary to support PSERT needs and develop new concepts.
• Provide technical expertise in the areas of virtual demonstration, process systems engineering and optimization.
•BS/MS/PhD in Chemical/Mechanical/Computer Science Engineering with 2+ years of experience (depending on level of degree) in the process modeling of advanced energy systems (e.g. boilers etc.).
• Experience in one or more of the following areas:
--Development and utilization of rigorous steady-state and dynamic process models, including developing sub-models for physical properties, thermodynamics and kinetics, utilizing at least one of the following classes modeling platforms:
Open source modeling languages such as Pyomo, Julia, CasADi, ASCEND and/or MODELICA.
--Commercial process modeling tools such as gPROMS, Aspen Plus, Aspen Economic Analyzer, Aspen Dynamics, and Aspen Custom Modeler.
--Expertise in modeling complex energy system processes including
--Process design (including cost estimation), synthesis, and integration (including heat/mass integration)
--Process modeling and simulation (both dynamic and steady-state)
--Process optimization and intensification
--Uncertainty quantification (including Bayesian approaches)
--US Citizenship required with the ability to obtain and maintain a Public Trust clearance
• Demonstrated training/experience in any of the following:
--Familiarity with the development of reduced order models (ROM) to facilitate multi-scale simulations
--Use of trust regions methodologies for optimization
--Modeling of energy systems
--Collaborating with experimentalists or process/equipment designers to develop and validate models
--Scientific and high-performance computing
SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability